71 lines
1.9 KiB
Rust
71 lines
1.9 KiB
Rust
use crate::graph::{EdgeMatrix, NodeVector, Node};
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pub struct MyModel {
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edges: EdgeMatrix,
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size: usize,
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opt_dist: f32,
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c: f32,
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dc: f32,
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}
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impl MyModel {
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pub fn new(edges: EdgeMatrix, size: usize, iterations: usize) -> MyModel {
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let opt_dist = 1.0 / (size as f32).sqrt();
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let c = 0.1;
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MyModel{ edges, size, opt_dist, c: c , dc: c / ((iterations + 1) as f32) }
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}
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pub fn prepare(& mut self, _nodes: &NodeVector) {
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self.c -= self.dc;
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}
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pub fn step(&self, nodes: &NodeVector, i_node: usize) -> Node {
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let node = nodes[i_node].read().unwrap();
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let edges = self.edges.read().unwrap();
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let mut node_x = node.x;
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let mut node_y = node.y;
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for o in 0..self.size {
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if o == i_node {
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continue;
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}
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let o_x: f32;
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let o_y: f32;
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{
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let other = nodes[o].read().unwrap();
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o_x = other.x;
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o_y = other.y;
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}
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let d_x = o_x - node_x;
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let d_y = o_y - node_y;
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let dist = (d_x * d_x + d_y * d_y).sqrt();
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let unit_x = d_x / dist;
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let unit_y = d_y / dist;
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let edge = edges[i_node][o].weight;
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if edge == 0.0 {
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let f_rep = (self.c / (dist).powi(2)).min(self.c);
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let f_rep_x = f_rep * unit_x;
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let f_rep_y = f_rep * unit_y;
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node_x -= f_rep_x;
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node_y -= f_rep_y;
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} else {
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let f_spring = self.c * 0.5 * (dist - self.opt_dist);
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let f_spring_x = f_spring * unit_x;
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let f_spring_y = f_spring * unit_y;
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node_x += f_spring_x;
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node_y += f_spring_y;
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}
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}
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Node {
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x: node_x,
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y: node_y,
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}
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}
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}
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